English

Seeing Science

Instrumentation and Methods for Astrophysics 2009-11-18 v1 Computer Vision and Pattern Recognition Graphics Applications

Abstract

The ability to represent scientific data and concepts visually is becoming increasingly important due to the unprecedented exponential growth of computational power during the present digital age. The data sets and simulations scientists in all fields can now create are literally thousands of times as large as those created just 20 years ago. Historically successful methods for data visualization can, and should, be applied to today's huge data sets, but new approaches, also enabled by technology, are needed as well. Increasingly, "modular craftsmanship" will be applied, as relevant functionality from the graphically and technically best tools for a job are combined as-needed, without low-level programming.

Keywords

Cite

@article{arxiv.0911.3349,
  title  = {Seeing Science},
  author = {Alyssa Goodman},
  journal= {arXiv preprint arXiv:0911.3349},
  year   = {2009}
}

Comments

4 pages, including 3 figures. To appear in Proceedings of the International Festival of Scientific Visualization, held in Tokyo, Japan, March 2009. Publisher will be Universal Academy Press

R2 v1 2026-06-21T14:12:49.027Z